Generalized Predictive Control for A Class of Bilinear Hammerstein Model

A generalized predictive control strategy aimed at a kind of bilinear Hammerstein model is proposed in the paper. The strategy avoids solving the high level equation by improving the static nonlinearity portion in the bilinear Hammerstein model and adopts the generalized predictive control algorithm in the bilinear portion to avoid the heavy computation of generic nonlinear optimization, thus the middle variable has an analytical form. The ability to resist disturbance is enhanced due to the introduction of multi-step generalized predictions control. Simulation examples demonstrate the effectiveness of the strategy